Bernie Boscoe

According to our database, Bernie Boscoe authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Generalization and Uncertainty Quantification of Photometric Redshift Models.

Jonathan Soriano, Tuan Do, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Evan Jones

CoRR, January, 2026

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction.

Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do

CoRR, January, 2026

2025

AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups.

Chandler Campbell, Bernie Boscoe, Tuan Do

CoRR, August, 2025

GreenCrossingAI: A Camera Trap/Computer Vision Pipeline for Environmental Science Research Groups.

Bernie Boscoe, Shawn Johnson, Andrea Osbon, Chandler Campbell, Karen Mager

CoRR, July, 2025

2024

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models.

Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do

CoRR, 2024

Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation.

Jonathan Soriano, Srinath Saikrishnan, Vikram Seenivasan, Bernie Boscoe, Jack Singal, Tuan Do

CoRR, 2024

GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning.

Tuan Do, Bernie Boscoe, Evan Jones, Yunqi Li, Kevin Alfaro

CoRR, 2024

Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models.

Yunqi Li, Tuan Do, Evan Jones, Bernie Boscoe, Kevin Alfaro, Zooey Nguyen

CoRR, 2024

2022

Elements of effective machine learning datasets in astronomy.

Bernie Boscoe, Tuan Do, Evan Jones, Yunqi Li, Kevin Alfaro, Christy Ma

CoRR, 2022